In August 2025, Wang Lei decided it was finally time to say goodbye to his electric vehicle.

Wang, who is 39, had bought the car in 2016, when EVs still felt experimental in Beijing. It was a compact Chinese brand. The subsidies were good, and the salesman talked about “supporting domestic innovation.” At the time, only a few people around him were driving on batteries. He liked being early.

But now, the car’s range had started to shrink as the battery’s health declined. He could have replaced the battery, but the warranty had expired; the cost and trouble no longer felt worth it. He also wanted an upgrade, so selling became the obvious choice.

His vague plans turned into action after he started seeing ads on Douyin from local battery recyclers. He asked around at a few recycling places, and the highest offer came from a smaller shop on the outskirts of town. He added the contact on WeChat, and the next day someone drove over to pick up his car. He got paid 8,000 yuan. With the additional automobile scrappage subsidy offered by the Chinese government, Wang ultimately pocketed about 28,000 yuan.

Wang is part of a much larger trend. In the past decade, China has seen an EV boom, thanks in part to government support. Buying an electric car has gone from a novel decision to a routine one; by late 2025, nearly 60% of new cars sold were electric or plug-in hybrids.

But as the batteries in China’s first wave of EVs reach the end of their useful life, early owners are starting to retire their cars, and the country is now under pressure to figure out what to do with those aging components.

The issue is putting strain on China’s still-developing battery recycling industry and has given rise to a gray market that often cuts corners on safety and environmental standards. National regulators and commercial players are also stepping in, building out formal recycling networks and take-back programs, but so far these efforts have struggled to keep pace with the flood of batteries coming off the road.

Like the batteries in our phones and laptops, those in EVs today are mostly lithium-ion packs. Their capacity drops a little every year, making the car slower to charge, shorter in range, and more prone to safety issues. Three professionals who work in EV retail and battery recycling told MIT Technology Review that a battery is often considered to be ready to retire from a car after its capacity has degraded to under 80%. The research institution EVtank estimates that the year’s total volume of retired EV batteries in China will come in at 820,000 tons, with annual totals climbing toward 1 million tons by 2030. 

In China, this growing pile of aging batteries is starting to test a recycling ecosystem that is still far from fully built out but is rapidly growing. By the end of November 2025, China had close to 180,000 enterprises involved in battery recycling, and more than 30,000 of them had been registered since January 2025. Over 60% of the firms were founded within the past three years. This does not even include the unregulated gray market of small workshops.

Typically, one of two things happens when an EV’s battery is retired. One is called cascade utilization, in which usable battery packs are tested and repurposed for slower applications like energy storage or low-speed vehicles. The other is full recycling: Cells are dismantled and processed to recover metals such as lithium, nickel, cobalt, and manganese, which are then reused to manufacture new batteries. Both these processes, if done properly, take significant upfront investment that is often not available to small players. 

But smaller, illicit battery recycling centers can offer higher prices to consumers because they ignore costs that formal recyclers can’t avoid, like environmental protection, fire safety, wastewater treatment, compliance, and taxes, according to the three battery recycling professionals MIT Technology Review spoke to.

“They [workers] crack them open, rearrange the cells into new packs, and repackage them to sell,” says Gary Lin, a battery recycling worker who worked in several unlicensed shops from 2022 to 2024. Sometimes, the refurbished batteries are even sold as “new” to buyers, he says. When the batteries are too old or damaged, workers simply crush them and sell them by weight to rare-metal extractors. “It’s all done in a very brute-force way. The wastewater used to soak the batteries is often just dumped straight into the sewer,” he says. 

This poorly managed battery waste can release toxic substances, contaminate water and soil, and create risks of fire and explosion. That is why the Chinese government has been trying to steer batteries into certified facilities. Since 2018, China’s Ministry of Industry and Information Technology has issued five “white lists” of approved power-battery recyclers, now totaling 156 companies. Despite this, formal recycling rates remain low compared with the rapidly growing volume of waste batteries.

China is not only the world’s largest EV market; it has also become the main global manufacturing hub for EVs and the batteries that power them. In 2024, the country accounted for more than 70% of global electric-car production and more than half of global EV sales, and firms like CATL and BYD together control close to half of global EV battery output, according to a report by the International Energy Agency. These companies are stepping in to offer solutions to customers wishing to offload their old batteries. Through their dealers and 4S stores, many carmakers now offer take-back schemes or opportunities to trade in old batteries for discount when owners scrap a vehicle or buy a new one. 

BYD runs its own recycling operations that process thousands of end-of-life packs a year and has launched dedicated programs with specialist recyclers to recover materials from its batteries. Geely has built a “circular manufacturing” system that combines disassembly of scrapped vehicles, cascade use of power batteries, and high recovery rates for metals and other materials.

CATL, China’s biggest EV maker, has created one of the industry’s most developed recycling systems through its subsidiary Brunp, with more than 240 collection depots, an annual disposal capacity of about 270,000 tons of waste batteries, and metal recovery rates above 99% for nickel, cobalt, and manganese. 

“No one is better equipped to handle these batteries than the companies that make them,” says Alex Li, a battery engineer based in Shanghai. That’s because they already understand the chemistry, the supply chain, and the uses the recovered materials can be put to next. Carmakers and battery makers “need to create a closed loop eventually,” he says.

But not every consumer can receive that support from the maker of their EV, because many of those manufacturers have ceased to exist. In the past five years, over 400 smaller EV brands and startups have gone bankrupt as the price war made it hard to stay afloat, leaving only 100 active brands today. 

Analysts expect many more used batteries to hit the market in the coming years, as the first big wave of EVs bought under generous subsidies reach retirement age. Li says, “China is going to need to move much faster toward a comprehensive end-of-life system for EV batteries—one that can trace, reuse and recycle them at scale, instead of leaving so many to disappear into the gray market.”

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In just a couple of weeks, we’ll be bidding farewell to 2025. And what a year it has been! Artificial intelligence is being incorporated into more aspects of our lives, weight-loss drugs have expanded in scope, and there have been some real “omg” biotech stories from the fields of gene therapy, IVF, neurotech, and more.   

As always, the team at MIT Technology Review has been putting together our 2026 list of breakthrough technologies. That will be published in the new year (watch this space). In the meantime, my colleague Antonio Regalado has compiled his traditional list of the year’s worst technologies.

I’m inviting you to put your own memory to the test. Just how closely have you been paying attention to the Checkup emails that have been landing in your inbox this year?!

This article first appeared in The Checkup, MIT Technology Review’s weekly biotech newsletter. To receive it in your inbox every Thursday, and read articles like this first, sign up here.

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This is today’s edition of The Download, our weekday newsletter that provides a daily dose of what’s going on in the world of technology.

The 8 worst technology flops of 2025

Welcome to our annual list of the worst, least successful, and simply dumbest technologies of the year.

We like to think there’s a lesson in every technological misadventure. But when technology becomes dependent on power, sometimes the takeaway is simpler: it would have been better to stay away.

Regrets—2025 had a few. Here are some of the more notable ones.

—Antonio Regalado

A brief history of Sam Altman’s hype

Each time you’ve heard a borderline outlandish idea of what AI will be capable of, it often turns out that Sam Altman was, if not the first to articulate it, at least the most persuasive and influential voice behind it.

For more than a decade he has been known in Silicon Valley as a world-class fundraiser and persuader. Throughout, Altman’s words have set the agenda. What he says about AI is rarely provable when he says it, but it persuades us of one thing: This road we’re on with AI can go somewhere either great or terrifying, and OpenAI will need epic sums to steer it toward the right destination. In this sense, he is the ultimate hype man.

To understand how his voice has shaped our understanding of what AI can do, we read almost everything he’s ever said about the technology. His own words trace how we arrived here. Read the full story.

—James O’Donnell

This story is part of our new Hype Correction package, a collection of stories designed to help you reset your expectations about what AI makes possible—and what it doesn’t. Check out the rest of the package here.

Can AI really help us discover new materials?

One of my favorite stories in the Hype Correction package comes from my colleague David Rotman, who took a hard look at AI for materials research. AI could transform the process of discovering new materials—innovation that could be especially useful in the world of climate tech, which needs new batteries, semiconductors, magnets, and more.

But the field still needs to prove it can make materials that are actually novel and useful. Can AI really supercharge materials research? And what would that look like? Read the full story.

—Casey Crownhart

This article is from The Spark, MIT Technology Review’s weekly climate newsletter. To receive it in your inbox every Wednesday, sign up here.

The must-reads

I’ve combed the internet to find you today’s most fun/important/scary/fascinating stories about technology.

1 China built a chip-making machine to rival the West’s supremacy 
Suggesting China is far closer to achieving semiconductor independence than we previously believed. (Reuters)
+ China’s chip boom is creating a new class of AI-era billionaires. (Insider $)

2 NASA finally has a new boss
It’s billionaire astronaut Jared Isaacman, a close ally of Elon Musk. (Insider $)
+ But will Isaacman lead the US back to the Moon before China? (BBC)
+ Trump previously pulled his nomination, before reselecting Isaacman last month. (The Verge)

3 The parents of a teenage sextortion victim are suing Meta
Murray Dowey took his own life after being tricked into sending intimate pictures to an overseas criminal gang. (The Guardian)
+ It’s believed that the gang is based in West Africa. (BBC)

4 US and Chinese satellites are jostling in orbit
In fact, these clashes are so common that officials have given it a name—”dogfighting.” (WP $)
+ How to fight a war in space (and get away with it) (MIT Technology Review)

5 It’s not just AI that’s trapped in a bubble right now
Labubus, anyone? (Bloomberg $)
+ What even is the AI bubble? (MIT Technology Review)

6 Elon Musk’s Texan school isn’t operating as a school
Instead, it’s a “licensed child care program” with just a handful of enrolled kids. (NYT $)

7 US Border Patrol is building a network of small drones
In a bid to expand its covert surveillance powers. (Wired $)
+ This giant microwave may change the future of war. (MIT Technology Review)

8 This spoon makes low-salt foods taste better
By driving the food’s sodium ions straight to the diner’s tongue. (IEEE Spectrum)

9 AI cannot be trusted to run an office vending machine
Though the lucky Wall Street Journal staffer who walked away with a free PlayStation may beg to differ. (WSJ $)

10 Physicists have 3D-printed a Cheistmas tree from ice 🎄
No refrigeration kit required. (Ars Technica

Quote of the day

“It will be mentioned less and less in the same way that Microsoft Office isn’t mentioned in job postings anymore.”

—Marc Cenedella, founder and CEO of careers platform Ladders, tells Insider why employers will increasingly expect new hires to be fully au fait with AI.

One more thing

Is this the electric grid of the future?

Lincoln Electric System, a publicly owned utility in Nebraska, is used to weathering severe blizzards. But what will happen soon—not only at Lincoln Electric but for all electric utilities—is a challenge of a different order.

Utilities must keep the lights on in the face of more extreme and more frequent storms and fires, growing risks of cyberattacks and physical disruptions, and a wildly uncertain policy and regulatory landscape. They must keep prices low amid inflationary costs. And they must adapt to an epochal change in how the grid works, as the industry attempts to transition from power generated with fossil fuels to power generated from renewable sources like solar and wind.

The electric grid is bracing for a near future characterized by disruption. And, in many ways, Lincoln Electric is an ideal lens through which to examine what’s coming. Read the full story.

—Andrew Blum

We can still have nice things

A place for comfort, fun and distraction to brighten up your day. (Got any ideas? Drop me a line or skeet ’em at me.)

+ A fragrance company is trying to recapture the scent of extinct flowers, wow. 
+ Seattle’s Sauna Festival sounds right up my street.
+ Switzerland has built what’s essentially a theme park dedicated to Saint Bernards
+ I fear I’ll never get over this tale of director supremo James Cameron giving a drowning rat CPR to save its life 🐀

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Welcome to our annual list of the worst, least successful, and simply dumbest technologies of the year.

This year, politics was a recurring theme. Donald Trump swept back into office and used his executive pen to reshape the fortunes of entire sectors, from renewables to cryptocurrency. The wrecking-ball act began even before his inauguration, when the president-elect marketed his own memecoin, $TRUMP, in a shameless act of merchandising that, of course, we honor on this year’s worst tech list.

We like to think there’s a lesson in every technological misadventure. But when technology becomes dependent on power, sometimes the takeaway is simpler: it would have been better to stay away.

That was a conclusion Elon Musk drew from his sojourn as instigator of DOGE, the insurgent cost-cutting initiative that took a chainsaw to federal agencies. The public protested. Teslas were set alight, and drivers of his hyped Cybertruck discovered that instead of a thumbs-up, they were getting the middle finger.

On reflection, Musk said he wouldn’t do it again. “Instead of doing DOGE, I would have, basically … worked on my companies,” he told an interviewer this month. “And they wouldn’t have been burning the cars.”

Regrets—2025 had a few. Here are some of the more notable ones.

NEO, the home robot

1X TECH

Imagine a metal butler that fills your dishwasher and opens the door. It’s a dream straight out of science fiction. And it’s going to remain there—at least for a while.

That was the hilarious, and deflating, takeaway from the first reviews of NEO, a 66-pound humanoid robot whose maker claims it will “handle any of your chores reliably” when it ships next year.

But as a reporter for the Wall Street Journal learned, NEO took two minutes to fold a sweater and couldn’t crack a walnut. Not only that, but the robot was teleoperated the entire time by a person wearing a VR visor.

Still interested? Neo is available on preorder for $20,000 from startup 1X.

More: I Tried the Robot That’s Coming to Live With You. It’s Still Part Human (WSJ), The World’s Stupidest Robot Maid (The Daily Show) Why the humanoid workforce is running late (MIT Technology Review), NEO The Home Robot | Order Today (1X Corp.)

Sycophantic AI

It’s been said that San Francisco is the kind of place where no one will tell you if you have a bad idea. And its biggest product in a decade—ChatGPT—often behaves exactly that way.

This year, OpenAI released an especially sycophantic update that told users their mundane queries were brilliantly incisive. This electronic yes-man routine isn’t an accident; it’s a product strategy. Plenty of people like the flattery.

But it’s disingenuous and dangerous, too. Chatbots have shown a willingness to indulge users’ delusions and worst impulses, up to and including suicide.

In April, OpenAI acknowledged the issue when the company dialed back a model update whose ultra-agreeable personality, it said, had the side effect of “validating doubts, fueling anger, urging impulsive actions, or reinforcing negative emotions.”

Don’t you dare agree the problem is solved. This month, when I fed ChatGPT one of my dumbest ideas, its response began: “I love this concept.”

More: What OpenAI Did When ChatGPT Users Lost Touch With Reality (New York Times), Sycophantic AI Decreases Prosocial Intentions and Promotes Dependence (arXiv), Expanding on what we missed with sycophancy (OpenAI)

The company that cried “dire wolf”

Two dire wolves are seen at 3 months old.
COLOSSAL BIOSCIENCES

When you tell a lie, tell it big. Make it frolic and give it pointy ears. And make it white. Very white.

That’s what the Texas biotech concern Colossal Biosciences did when it unveiled three snow-white animals that it claimed were actual dire wolves, which went extinct more than 10 millennia ago.

To be sure, these genetically modified gray wolves were impressive feats of engineering. They’d been made white via a genetic mutation and even had some bits and bobs of DNA copied over from old dire wolf bones. But they “are not dire wolves,” according to canine specialists at the International Union for Conservation of Nature.

Colossal’s promotional blitz could hurt actual endangered species. Presenting de-extinction as “a ready-to-use conservation solution,” said the IUCN, “risks diverting attention from the more urgent need of ensuring functioning and healthy ecosystems.”

In a statement, Colossal said that sentiment analysis of online activity shows 98% agreement with its furry claims. “They’re dire wolves, end of story,” it says.  

More: Game of Clones: Colossal’s new wolves are cute, but are they dire? (MIT Technology Review), Conservation perspectives on gene editing in wild canids (IUCN),  A statement from Colossal’s Chief Science Officer, Dr. Beth Shapiro (Reddit)

mRNA political purge

RFK Jr composited with a vaccine vial that has a circle and slash icon over it
MITTR | GETTY IMAGES

Save the world, and this is the thanks you get?

During the covid-19 pandemic, the US bet big on mRNA vaccines—and the new technology delivered in record time. 

But now that America’s top health agencies are led by the antivax wackadoodle Robert F. Kennedy Jr., “mRNA” has become a political slur.

In August, Kennedy abruptly canceled hundreds of millions in contracts for next-generation vaccines. And shot maker Moderna—once America’s champion—has seen its stock slide by more than 90% since its Covid peak.

The purge targeting a key molecule of life (our bodies are full of mRNA) isn’t just bizarre. It could slow down other mRNA-based medicine, like cancer treatments and gene editing for rare diseases.

In August, a trade group fought back, saying: “Kennedy’s unscientific and misguided vilification of mRNA technology and cancellation of grants is the epitome of cutting off your nose to spite your face.”

More: HHS Winds Down mRNA Vaccine Development (US Department of Health and Human Services),  Cancelling mRNA studies is the highest irresponsibility (Nature), How Moderna, the company that helped save the world, unraveled (Stat News)

​​Greenlandic Wikipedia

WIKIPEDIA

Wikipedia has editions in 340 languages. But as of this year, there’s one less: Wikipedia in Greenlandic is no more.

Only around 60,000 people speak the Inuit language. And very few of them, it seems, ever cared much about the online encyclopedia. As a result, many of the entries were machine translations riddled with errors and nonsense.

Perhaps a website no one visits shouldn’t be a problem. But its existence created the risk of a linguistic “doom spiral” for the endangered language. That could happen if new AIs were trained on the corrupt Wikipedia articles.  

In September, administrators voted to close Greenlandic Wikipedia, citing possible “harm to the Greenlandic language.”

Read more:  Can AI Help Revitalize Indigenous Languages? (Smithsonian), How AI and Wikipedia have sent vulnerable languages into a doom spiral (MIT Technology Review), Closure of Greenlandic Wikipedia (Wikimedia)

Tesla Cybertruck

Tesla Cybertruck-rows of new cars in port
ADOBE STOCK

There’s a reason we’re late to the hate-fest around Elon Musk’s Cybertruck. That’s because 12 months ago, the polemical polygon was the #1 selling electric pickup in the US.

So maybe it would end up a hit.

Nope. Tesla is likely to sell only around 20,000 trucks this year, about half last year’s total. And a big part of the problem is that the entire EV pickup category is struggling. Just this month, Ford decided to scrap its own EV truck, the F-150 Lightning. 

With unsold inventory building, Musk has started selling Cybertrucks as fleet vehicles to his other enterprises, like SpaceX.

More: Elon’s Edsel: Tesla Cybertruck Is The Auto Industry’s Biggest Flop In Decades (Forbes), Why Tesla Cybertrucks Aren’t Selling (CNBC), Ford scraps fully-electric F-150 Lightning as mounting losses and falling demand hits EV plans (AP)

Presidential shitcoin

VIA GETTRUMPMEMES.COM

Donald Trump launched a digital currency called $TRUMP just days before his 2025 inauguration, accompanied by a logo showing his fist-pumping “Fight, fight, fight” pose.

This was a memecoin, or shitcoin, not real money. Memecoins are more like merchandise—collectibles designed to be bought and sold, usually for a loss. Indeed, they’ve been likened to a consensual scam in which a coin’s issuer can make a bundle while buyers take losses.

The White House says there’s nothing amiss. “The American public believe[s] it’s absurd for anyone to insinuate that this president is profiting off of the presidency,” said spokeswoman Karoline Leavitt in May.

More: Donald and Melania Trump’s Terrible, Tacky, Seemingly Legal Memecoin Adventure (Bloomberg), A crypto mogul who invested millions into Trump coins is getting a reprieve (CNN), How the Trump companies made $1 bn from crypto (Financial Times), Staff Statement on Meme Coins (SEC)

“Carbon-neutral” Apple Watch

Apple's Carbon Neutral logo with the product Apple Watch
APPLE

In 2023, Apple announced its “first-ever carbon-neutral product,” a watch with “zero” net emissions. It would get there using recycled materials and renewable energy, and by preserving forests or planting vast stretches of eucalyptus trees.

Critics say it’s greenwashing. This year, lawyers filed suit in California against Apple for deceptive advertising, and in Germany, a court ruled that the company can’t advertise products as carbon neutral because the “supposed storage of CO2 in commercial eucalyptus plantations” isn’t a sure thing.

Apple’s marketing team relented. Packaging for its newest watches doesn’t say “carbon neutral.” But Apple believes the legal nitpicking is counterproductive, arguing that it can only “discourage the kind of credible corporate climate action the world needs.”

More: Inside the controversial tree farms powering Apple’s carbon neutral goal (MIT Technology Review), Apple Watch not a ‘CO2-neutral product,’ German court finds (Reuters), Apple 2030: Our ambition to become carbon neutral (Apple)

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Judging from headlines and social media posts in recent years, one might reasonably assume that AI is going to fix the power grid, cure the world’s diseases, and finish my holiday shopping for me. But maybe there’s just a whole lot of hype floating around out there.

This week, we published a new package called Hype Correction. The collection of stories takes a look at how the world is starting to reckon with the reality of what AI can do, and what’s just fluff.

One of my favorite stories in that package comes from my colleague David Rotman, who took a hard look at AI for materials research. AI could transform the process of discovering new materials—innovation that could be especially useful in the world of climate tech, which needs new batteries, semiconductors, magnets, and more. 

But the field still needs to prove it can make materials that are actually novel and useful. Can AI really supercharge materials research? What could that look like?

For researchers hoping to find new ways to power the world (or cure disease or achieve any number of other big, important goals), a new material could change everything.

The problem is, inventing materials is difficult and slow. Just look at plastic—the first totally synthetic plastic was invented in 1907, but it took until roughly the 1950s for companies to produce the wide range we’re familiar with today. (And of course, though it is incredibly useful, plastic also causes no shortage of complications for society.)

In recent decades, materials science has fallen a bit flat—David has been covering this field for nearly 40 years, and as he puts it, there have been just a few major commercial breakthroughs in that time. (Lithium-ion batteries are one.)

Could AI change everything? The prospect is a tantalizing one, and companies are racing to test it out.

Lila Sciences, based in Cambridge, Massachusetts, is working on using AI models to uncover new materials. The company can not only train an AI model on all the latest scientific literature, but also plug it into an automated lab, so it can learn from experimental data. The goal is to speed up the iterative process of inventing and testing new materials and look at research in ways that humans might miss.

At an MIT Technology Review event earlier this year, I got to listen to David interview Rafael Gómez-Bombarelli, one of Lila’s cofounders. As he described what the company is working on, Gómez-Bombarelli acknowledged that AI materials discovery hasn’t yet seen a big breakthrough moment. Yet.

Gómez-Bombarelli described how models Lila has trained are providing insights that are “as deep [as] or deeper than our domain scientists would have.” In the future, AI could “think” in ways that depart from how human scientists approach a problem, he added: “There will be a need to translate scientific reasoning by AI to the way we think about the world.”

It’s exciting to see this sort of optimism in materials research, but there’s still a long and winding road before we can satisfyingly say that AI has transformed the field. One major difficulty is that it’s one thing to take suggestions from a model about new experimental methods or new potential structures. It’s quite another to actually make a material and show that it’s novel and useful.

You might remember that a couple of years ago, Google’s DeepMind announced it had used AI to predict the structures of “millions of new materials” and had made hundreds of them in the lab.

But as David notes in his story, after that announcement, some materials scientists pointed out that some of the supposedly novel materials were basically slightly different versions of known ones. Others couldn’t even physically exist in normal conditions (the simulations were done at ultra-low temperatures, where atoms don’t move around much).

It’s possible that AI could give materials discovery a much-needed jolt and usher in a new age that brings superconductors and batteries and magnets we’ve never seen before. But for now, I’m calling hype. 

This article is from The Spark, MIT Technology Review’s weekly climate newsletter. To receive it in your inbox every Wednesday, sign up here.

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Facebook Ad Algorithm Changes for 2026: What Marketers Need to Know by Social Media Examiner

Do you feel like your Facebook ads are suddenly wasting money, but you can’t pinpoint why? Are you looking for a way to adapt your strategy to Meta’s latest AI-driven algorithm changes without guessing what works? In this article, you’ll discover how to navigate the new Andromeda algorithm and use a specific creative strategy to […]

The post Facebook Ad Algorithm Changes for 2026: What Marketers Need to Know appeared first on Social Media Examiner.

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